Lessons From Target Data Breach
There are several lessons learnt from this case. First, I have learnt that the experience of Target on its data breach continues to jeopardize the confidentiality of stored information and the market value of the firm. Therefore, the company deserves to invest much attention, especially in research. Worry of disclosure of credit card information, private details, and other IDs is often the reason why customers leave companies. After identification of breach, Target Company is compelled to pay court costs, charges and has to get into enhancing its data security. The traders lose assurance in the company and the eventual fall in market value. Many studies have been performed to assess the speculation as further explored in this study (Bayuk, 2010). The primary objective of this document is to evaluate the chance of forecast of a Target data violation and assess its effect on industry value based on the outcomes of recent reports and research of representative cases (Grove, 2010).
Domain
Secondly, with the proliferation of similar incidences in the corporate sector, I have learnt that businesses can embrace various technological strategies to ensure the safety and security of their customer data. While providing a high-level of security to protect the data while also protecting the owner of the data can be challenging, it is worth the cost. This study explores relevant lessons acquired from Target data breach (Peitz & Waldfogel, 2012).
Research problem
Interestingly, nearly all the conducted studies contain the same concept that present Target data breaches have more serious effect than the historical ones. Although the real outcomes of research are not exactly the same, there is a damaging effect of the company's data breaches. Third, I have also learnt that the fall in market value happens once the disclosure of information is violated. This document is only the preliminary attempt to lay the fundamentals for the following research targeted on lessons learnt from the incident. Latest reports of probability of data breach concentrate only on the quantification like identifying the number of breaches anticipated in a certain period. What would be more realistic is the research of qualitative part of the problem and confirmation of techniques on real situations (Bayuk, 2010).
Rationale
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